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It looks like this:
 
It looks like this:
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A= Amount Invested each period
 
A= Amount Invested each period
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p= period
 
p= period
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r= annual percentage rate (in this case it is positive for an investment)
 
r= annual percentage rate (in this case it is positive for an investment)
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t= time in years
 
t= time in years
  
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Period(3) = ...... ---[[User:Gbrizend|Gary Brizendine II]]
 
Period(3) = ...... ---[[User:Gbrizend|Gary Brizendine II]]
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Notice...
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i= r/p = periodic interest rate
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P(1) = A(i+1)
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P(2) = A(i+1)(i+2)
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P(3) = A(i+1)(i^2+3i+3)
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P(4) = A(i+1)(i^3+4i^2+4i+4)
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so.....
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<math> P(t) = -(t-1)(\frac{r}{p})^{t-1} + At(\frac{r}{p}+1) \sum_{t=1}{N}(\frac{r}{p})^{t-1} </math>
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I'll leave what I just put up there, but it is wrong.  I noticed the coefficients inside the powers of 'i' parentheses.  I assumed for the fourth period that they would be fours.  I was wrong.  I carried it through to five and noticed something interesting.  It creates a pascal's triangle effect.  The fourth is 1-4-6-4; the fifth is 1-5-10-10-5; the sixth is 1-6-15-20-15-6.  This makes things a little more complicated.  The equation I came up with on the main page without sums or integrals is correct.  I got this by solving for a geometric series.  I will try to solve for this new pascal configuration.  --[[User:Gbrizend|Gary Brizendine II]]
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Wow!!!! Solving it like this actually gave me the exact formula I got using series.  I guess that you can not use a summation here.  For some reason, I thought you could because I got a sigma in there.  What did I learn from this?: just because you have a sigma doesn't mean you can necessarily have an integral.  Correct me if I'm wrong.
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Formula:
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 +
<math> Total = \frac{A[(i+1)^{t+1}-(i+1)]}{i} </math>
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 +
This can also be:
 +
 +
<math> Total = \frac{A[(e)^{(t+1)\ln{(i+1)}}-(i+1)]}{i} </math>
 +
 +
This makes the exponential function:
 +
 +
<math> Total = Ae^{(t+1)\ln{(i+1)}}-\frac{A(i+1)}{i} </math>
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 +
Thanks for the comments! --[[User:Gbrizend|Gary Brizendine II]]
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*Wait, how did you get rid of the i under <math>\frac{A[(e)^{(t+1)\ln{(i+1)}}-(i+1)]}{i} </math>?  I see it under the second part, but not the first.  Maybe I'm just not thinking of something.
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Also, a house-keeping note.  I moved the link to this page on the main page to interesting articles since this technically isn't part of homework.[[User:Jhunsber|Jhunsber]]
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It doesn't surprise me that you can't get an integral;  the behavior that I *think* you are describing isn't continuous.  So while you can definitely get a trend, it would look like some weird step function.
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Also, thanks to Josh for solving the "pert" problem, I had forgotten that the natural log of 1 was 0 and couldn't get past that point.--[[User:Jmason|Jmason]] 15:43, 3 October 2008 (UTC)
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*Good point John.  Unless you consider yourself to be investing continuously at a constant rate(so that you'd invest the initial amount each year).  However, I think that would probably look even uglier.  But then, maybe not.  I'd have to do some tinkering first.[[User:Jhunsber|Jhunsber]]
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*Your right, Josh, it is actually the following (I forgot to divide by 'i' for the first fraction):
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<math> Total = \frac{A}{i}e^{(t+1)\ln{(i+1)}}-\frac{A(i+1)}{i} </math> --[[User:Gbrizend|Gary Brizendine II]]
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So again, this equation can be used to show how if you invest a certain amount every period (monthly for example) your investments grow exponentially.  This would assume that you can secure a certain APR (like in a bank), but I don't know how you would.  IRA's allow you to add to the investment monthly.  You can see how much a little amount would turn into over time.  For instance, if you invest $2000 a year in an IRA and get 8% for 50 years, you would have over $1.2 million and have invested $100,000 (over 1200% ROI).

Latest revision as of 11:39, 3 October 2008

I'm not sure that your original function makes that much sense; I can't say that I can tell how you got to that point.

Just checking out how normal compounded interest works, I checked Wikipedia and rediscovered the formula:

$ A=P\bigg(1+\frac{r}{n}\bigg)^{nt} $

P = principal amount (initial investment)

r = annual nominal interest rate (as a decimal)

n = number of times the interest is compounded per year

t = number of years

A = amount after time t

I've tried to break that down into good 'ole

$ A=Pe^{rt} $

but haven't had any luck; I always end up with an indeterminate value relating one and infinity that I can't break down into something manageable with L'Hopital's.--Jmason 15:53, 2 October 2008 (UTC)

  • To Gary: Yeah, I have to agree with John, I'm not following your math here. Could you tell us how you got to that equation?

To John: The derivation is actually in our book, but I'll redo the work here to practice with Latex and so you can see it here instead of going to the book.

$ A=P\bigg(1+\frac{r}{n}\bigg)^{nt} $

Now we we want to find the limit as n goes to infinity, since we're trying to compound the interest continuously, and therefore have an infinite number of times we compound.

$ P\lim_{n\to\infty}\bigg(1+\frac{r}{n}\bigg)^{nt} $

We now have a limit in the indeterminate form $ 1^{\infty} $

Now I'm going to stray from what the book showed us and use L'H rule to show that the limit approaches $ Pe^{rt} $

First, drop the P, we can multiply it back in later. Also, since it's in form $ 1^{\infty} $ we can try to find its limit by taking the natural log of it and its limit (Which means when we find the new limit, we have to raise e to that power to get the right limit, as you already know.)

$ \lim_{n\to\infty}\ln{\bigg(1+\frac{r}{n}\bigg)^{nt}} $

Move the nt to the front

$ \lim_{n\to\infty}nt\ln{\bigg(1+\frac{r}{n}\bigg)} $

And move the nt to the bottom by inverting it

$ \lim_{n\to\infty}\frac{\ln{\bigg(1+\frac{r}{n}\bigg)}}{\frac{1}{nt}} $

Which is now in the indeterminate form $ \frac{0}{0} $ So apply L'H rule and find derivatives of top and bottom functions:

$ \lim_{n\to\infty}\frac{\frac{-r}{(1+\frac{r}{n})n^2}}{\frac{-1}{n^2t}} $

Now the $ -n^2 $ cancel and we can take the limit as n approaches infinity.


$ \lim_{n\to\infty}\frac{rt}{1+\frac{r}{n}}=\frac{rt}{1}=rt $

Now take e to this power to get the actual limit.

$ \lim_{n\to\infty}\bigg(1+\frac{r}{n}\bigg)^{nt}=e^{rt} $

And now we simply add back in our constant to solve completely.

$ A=P\lim_{n\to\infty}\bigg(1+\frac{r}{n}\bigg)^{nt}=Pe^{rt} $ Jhunsber

What I am doing is calculating a sum where you initially invest an amount, and then you invest that same amount again next period. For instance, I invest $1000 in an IRA for year one. Year 2, I invest another $1000 on top that. Year 3, I invest another $1000.

It looks like this:

A= Amount Invested each period

p= period

r= annual percentage rate (in this case it is positive for an investment)

t= time in years

Period(1) = $ A(\frac{r}{p} +1) = \frac{Ar}{p} +A $

Period(2) = $ [Year(1)+A](\frac{r}{p} +1) = \frac{Ar^2}{p^2}+\frac{3Ar}{p} +2A $

Period(3) = ...... ---Gary Brizendine II

Notice...

i= r/p = periodic interest rate

P(1) = A(i+1)

P(2) = A(i+1)(i+2)

P(3) = A(i+1)(i^2+3i+3)

P(4) = A(i+1)(i^3+4i^2+4i+4)

so.....

$ P(t) = -(t-1)(\frac{r}{p})^{t-1} + At(\frac{r}{p}+1) \sum_{t=1}{N}(\frac{r}{p})^{t-1} $

I'll leave what I just put up there, but it is wrong. I noticed the coefficients inside the powers of 'i' parentheses. I assumed for the fourth period that they would be fours. I was wrong. I carried it through to five and noticed something interesting. It creates a pascal's triangle effect. The fourth is 1-4-6-4; the fifth is 1-5-10-10-5; the sixth is 1-6-15-20-15-6. This makes things a little more complicated. The equation I came up with on the main page without sums or integrals is correct. I got this by solving for a geometric series. I will try to solve for this new pascal configuration. --Gary Brizendine II

Wow!!!! Solving it like this actually gave me the exact formula I got using series. I guess that you can not use a summation here. For some reason, I thought you could because I got a sigma in there. What did I learn from this?: just because you have a sigma doesn't mean you can necessarily have an integral. Correct me if I'm wrong.

Formula:

$ Total = \frac{A[(i+1)^{t+1}-(i+1)]}{i} $

This can also be:

$ Total = \frac{A[(e)^{(t+1)\ln{(i+1)}}-(i+1)]}{i} $

This makes the exponential function:

$ Total = Ae^{(t+1)\ln{(i+1)}}-\frac{A(i+1)}{i} $

Thanks for the comments! --Gary Brizendine II

  • Wait, how did you get rid of the i under $ \frac{A[(e)^{(t+1)\ln{(i+1)}}-(i+1)]}{i} $? I see it under the second part, but not the first. Maybe I'm just not thinking of something.

Also, a house-keeping note. I moved the link to this page on the main page to interesting articles since this technically isn't part of homework.Jhunsber

It doesn't surprise me that you can't get an integral; the behavior that I *think* you are describing isn't continuous. So while you can definitely get a trend, it would look like some weird step function.

Also, thanks to Josh for solving the "pert" problem, I had forgotten that the natural log of 1 was 0 and couldn't get past that point.--Jmason 15:43, 3 October 2008 (UTC)

  • Good point John. Unless you consider yourself to be investing continuously at a constant rate(so that you'd invest the initial amount each year). However, I think that would probably look even uglier. But then, maybe not. I'd have to do some tinkering first.Jhunsber
  • Your right, Josh, it is actually the following (I forgot to divide by 'i' for the first fraction):

$ Total = \frac{A}{i}e^{(t+1)\ln{(i+1)}}-\frac{A(i+1)}{i} $ --Gary Brizendine II

So again, this equation can be used to show how if you invest a certain amount every period (monthly for example) your investments grow exponentially. This would assume that you can secure a certain APR (like in a bank), but I don't know how you would. IRA's allow you to add to the investment monthly. You can see how much a little amount would turn into over time. For instance, if you invest $2000 a year in an IRA and get 8% for 50 years, you would have over $1.2 million and have invested $100,000 (over 1200% ROI).

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva